{"id":"W2735483073","doi":"10.1109/ccdc.2017.7978873","title":"Design of the nonlinear controller for a quadrotor trajectory tracking","year":2017,"lang":"en","type":"article","venue":"","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Backstepping; Control theory (sociology); Trajectory; Nonlinear system; Tracking (education); PID controller; Controller (irrigation); MATLAB; Control engineering; Computer science; Engineering; Adaptive control; Control (management); Artificial intelligence; Physics; Temperature control","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003036944,0.0001275234,0.0002745179,0.00002514496,0.0001429642,0.00004180548,0.0004338604,0.00007043045,0.00001694922],"category_scores_gemma":[0.0002068756,0.00008443934,0.0001511232,0.00001774941,0.0000597967,0.0001172787,0.00001956698,0.00008089106,0.000007413033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002915429,"about_ca_system_score_gemma":0.00002575268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001613619,"about_ca_topic_score_gemma":0.00002034636,"domain_scores_codex":[0.9993005,0.00002894355,0.0002548529,0.0001092671,0.0001232884,0.0001831974],"domain_scores_gemma":[0.9991174,0.0002136651,0.0001122586,0.0004253979,0.00009684843,0.00003442429],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008788059,0.0002380061,0.003645994,0.0006638757,0.001534048,0.000006730874,0.001285391,0.1959238,0.7357412,0.002414412,0.01085336,0.0468144],"study_design_scores_gemma":[0.00230789,0.00005952579,0.003925303,0.00004845259,0.00003793879,0.000002198247,0.00004729048,0.9743025,0.01319042,0.00004920297,0.005862329,0.0001669631],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01100065,0.000256421,0.9826356,0.0001423946,0.0008315779,0.002154741,0.00003264098,0.0001428754,0.002803162],"genre_scores_gemma":[0.9869195,0.000002595631,0.0119017,0.00002960429,0.0003034764,0.0001006999,3.961651e-7,0.00004026305,0.000701758],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9759189,"threshold_uncertainty_score":0.3443336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04835475135758209,"score_gpt":0.2626115124642344,"score_spread":0.2142567611066523,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}